Question 1

What is Women Employees-To-All Employees Ratio: Goods-Producing?

Accepted Answer

To obtain estimates of women worker employment, the ratio of weighted women employees to the weighted all employees in the sample is assumed to equal the same ratio in the universe. The current month's women worker ratio, thus, is estimated and then multiplied by the all-employee estimate. The weigh...

Question 2

Where does Women Employees-To-All Employees Ratio: Goods-Producing data come from?

Accepted Answer

This dataset is sourced from FRED (FRED), a trusted provider of economic and financial data. DataSetIQ aggregates and standardizes this data for easy access and analysis.

Question 3

How often is Women Employees-To-All Employees Ratio: Goods-Producing updated?

Accepted Answer

This dataset is updated on a m basis by FRED. DataSetIQ syncs the latest data regularly to ensure you have access to the most current information.

Question 4

What time period does Women Employees-To-All Employees Ratio: Goods-Producing cover?

Accepted Answer

This dataset covers the period from 1964 to 2026. The temporal coverage allows for historical analysis and trend identification over 62 years of data.

Question 5

What units is Women Employees-To-All Employees Ratio: Goods-Producing measured in?

Accepted Answer

The data in this dataset is measured in %. Understanding the measurement units is important for accurate interpretation and comparison with other datasets.

Question 6

What is the data quality score for Women Employees-To-All Employees Ratio: Goods-Producing?

Accepted Answer

Women Employees-To-All Employees Ratio: Goods-Producing has a DataSetIQ score of 86/100. This score measures data quality based on completeness, timeliness, consistency, and coverage metrics.

Women Employees-To-All Employees Ratio: Goods-Producing

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